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deberta-v3-base-finetuned-squad2
saket12-hf/deberta-v3-base-finetuned-squad2
deberta-v3-base-finetuned-squad2 is a question answering model from saket12-hf. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Aug 6, 2023
- Updated
- Aug 29, 2023
- SHA
- fe1e26a6
Try a prompt
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
deberta-v3-base-finetuned-squad2
This model is a fine-tuned version of IProject-10/deberta-v3-base-finetuned-squad2 on the squad_v2 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8493
- eval_runtime: 168.8242
- eval_samples_per_second: 71.678
- eval_steps_per_second: 4.484
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Aug 6, 2023
- Updated
- Aug 29, 2023